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How to deal with laravel redis queue timeout

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Release: 2024-04-09 14:51:22
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When a Laravel Redis queue job times out, you can handle it through the following steps: 1. Determine the timeout; 2. Use the failure queue to store the timeout job; 3. Use a specific command to retry the failed job; 4. Use a specific command Delete failed jobs that no longer need to be retried; 5. Customize timeout handling to meet specific needs.

How to deal with laravel redis queue timeout

Handling after Laravel Redis queue times out

When a job in the Laravel Redis queue times out, you can take Follow the steps below:

1. Determine the timeout period

The timeout period is determined by the timeout configuration item. By default, the timeout is 60 seconds. You can adjust this by modifying the QUEUE_REDIS_TIMEOUT variable in the .env file.

2. Use the failure queue

Laravel uses the failure queue to store timeouts or handle failed jobs. You can use the queue:failed Artisan command to view the jobs in the failed queue:

<code>php artisan queue:failed</code>
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3. Retry the job

You can use queue:retry Artisan command to retry a failed job:

<code>php artisan queue:retry</code>
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4. Delete a job

If you don’t want to retry a failed job, you can usequeue:forget Artisan command to delete it:

<code>php artisan queue:forget {job_id}</code>
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5. Customize timeout processing

You can also customize the queue timeout processing method. To do this, you need to implement the Illuminate\Queue\Events\JobFailed event listener. In an event listener, you can define your own timeout handling logic, such as sending an email or triggering an alert.

Example:

<code class="php">use App\Listeners\QueueJobFailedListener;

class QueueJobFailedListener implements ShouldQueue
{
    public function handle(JobFailed $event)
    {
        // 自定义超时处理逻辑,例如发送电子邮件或触发警报
    }
}</code>
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Note:

  • Make surefailed queue is configured as Durable queue, otherwise failed jobs will be lost.
  • If queue timeouts occur frequently, you may need to adjust the timeout or investigate potential performance issues.
  • When customizing timeout handling, make sure you don't create infinite loops or other unexpected behavior.

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